- 📁 references/
- 📁 scripts/
- 📄 _meta.json
- 📄 SKILL.md
ontology
用于结构化代理记忆和可组合技能的类型知识图谱。创建/查询实体(Person、Project、Task、Event、Document)、链接(linkin)时可以使用。
用于结构化代理记忆和可组合技能的类型知识图谱。创建/查询实体(Person、Project、Task、Event、Document)、链接(linkin)时可以使用。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Review B端 PRDs, requirement docs, SaaS or enterprise product specs, and system design documents with a 14-dimension quality framework. Use this whenever the user asks to check, review, critique, improve, or find gaps in a PRD, 需求文档, 产品方案, B端系统设计, SaaS spec, or similar design document, even if they only say “帮我看看这个 PRD/方案/需求”.
WCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen readers, automated testing
Implement Clerk authentication for native Android apps using Kotlin and Jetpack Compose with clerk-android source-guided patterns. Use for prebuilt AuthView/UserButton or custom API-driven auth flows. Do not use for Expo or React Native projects.
Segment contract documents into clause-level units and classify each clause.
Analyze data by writing and running Python scripts. Can generate sample data, process CSVs, compute statistics, and create charts.
Prefect CLI commands for mutations. The MCP server is read-only - use this skill when you need to trigger deployments, cancel flow runs, create automations, or modify Prefect resources.
AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
Activate when user wants to find actual companies in a value chain layer, especially Indian proxies for global themes. Always check connected sources first. Always apply SEBI compliance — research framing only. --- ## Design system — mandatory on all HTML artifacts Every HTML artifact generated by this skill MUST follow this design system. No exceptions. Never invent colours, never use dark backgrounds, never use purple or blue as primary backgrounds. **Palette:** - Page background: `#fafaf8` (warm white) - Card background: `white` - Primary text: `#2c2c2c` (soft charcoal) - Secondary text: `#6b6b6b` - Muted text: `#9a9690` - Accent / headers: `#1b5e52` (deep teal) — the ONLY accent colour - Border: `#e0ddd6` - Hover tint: `#f0f7f4` - Warning/amber: `#fff8f0` background, `#f0d090` border, `#5a3a00` text **Typography:** - Body: `'Georgia', serif`, 14px minimum - Monospace labels: `'Courier New', monospace` - Never below 11px anywhere **Component rules:** - All section headers: `background: #1b5e52; color: white` - Cards: `background: white; border: 1px solid #e0ddd6; border-radius: 8px` - Buttons: `background: #1b5e52; color: white` for primary actions - No gradients, no shadows, no dark backgrounds on outer containers **Pill colour system:** - Global company: `background:#e6f1fb; color:#0c447c; border:0.5px solid #85b7eb` - India listed: `background:#eaf3de; color:#27500a; border:0.5px solid #97c459` - India private: `background:#faeeda; color:#633806; border:0.5px solid #ef9f27` - Flagged: `background:#fcebeb; color:#791f1f; border:0.5px solid #f09595` - Neutral segment: `background:#f3f4f6; color:#374151; border:0.5px solid #d1d5db` - Seeded: `background:#eaf3de; color:#27500a` - Discovered: `background:#e6f1fb; color:#0c447c` **Attribution footer — mandatory on every artifact:** ```html <div style="margin-top:32px;padding-top:12px;border-top:1px solid #e0ddd6;
Add beautiful shadcn/ui-styled README badges to projects using shieldcn. Use when adding badges, shields, or status indicators to README files, docs, or markdown. Triggers include "add badges", "add shields", "readme badges", "npm badge", "GitHub stars badge", "CI badge", "shieldcn", or any request to add project status badges to documentation.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: